VectorAscent
clipping-CLIP-to-GAN
| VectorAscent | clipping-CLIP-to-GAN | |
|---|---|---|
| 3 | 1 | |
| 113 | 40 | |
| - | - | |
| 0.0 | 10.0 | |
| almost 3 years ago | over 3 years ago | |
| Python | Python | |
| - | MIT License |
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VectorAscent
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test
(Added Mar. 9, 2021) VectorAscent by ajayjain. Uses diffvg to generate images.
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Idea for developers: Use CLIP to steer a differentiable vector graphics generator
For future reference the actual code is here: https://github.com/ajayjain/VectorAscent
clipping-CLIP-to-GAN
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test
(Added Feb. 24, 2021) clipping-CLIP-to-GAN by cloneofsimo. Uses FastGAN to generate images.
What are some alternatives?
Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
DALLECLIP
big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
CLIP-Style-Transfer - Doing style transfer with linguistic features using OpenAI's CLIP.
random-colabs
TediGAN - [CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
stylegan2-clip-approach - Navigating StyleGAN2 w latent space using CLIP
AuViMi - AuViMi stands for audio-visual mirror. The idea is to have CLIP generate its interpretation of what your webcam sees, combined with the words thare are spoken.
clip-glass - Repository for "Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search"